FL has been proposed as a promising strategy to facilitate collaboration among several institutions (e.g., medical centers distributed from different geographical locations) to train a global DL model [1]}. Given the important role of FL plays in leveraging medical data from distributed locations and the practical usage of DL-based synthetic models in medicine, combining them together will help facilitate advancement in medicine. Previous studies try to establish the FedGAN [2]} and explored its robustness in terms of the differential privacy [3]}.
